摘要
目的基于中药指纹图谱结合化学模式识别方法寻找影响清开灵软胶囊批次间稳定性的重点化学成分。方法采用聚类分析、主成分分析及偏最小二乘法模型对不同批次清开灵软胶囊的高效液相色谱法指纹图谱进行整体观察和评价,找出可能与相似度强相关的标志物。结果通过系统聚类分析及主成分分析表明剔除黄芩苷色谱峰后的相似度计算结果更符合实际情况;经偏最小二乘法分析得到3个化学成分与相似度密切相关,该3个化合物可作为控制清开灵软胶囊批次间稳定性的重点化学成分。结论该中药指纹图谱-化学模式识别方法用于中药不同批次间稳定性控制研究是可行的。
Objective Based on fingerprint combined with chemical pattern recognition method for Qingkailing soft capsule on the stability of key chemical composition between different batches. Methods Cluster analysis, PCA and PLS model were used for observation and evaluation of different batches of soft capsules on the HPLC fingerprint, markers associated with similarity were identified. Results The system clustering analysis and principal component analysis showed that after eliminating chromatographic peak of baicalin similarity calculation the results was more in line with the actual situation. The PLS analysis was got 3 chemical component that was closely related to the similarity. The three compounds can be used as a key of chemical composition which influenced the stability of soft capsule between different batches. Conclusion The TCM fingerprint and chemical pattern recognition method is feasible for traditional Chinese medicine （TCM） between different batches stability control research.
出处
《环球中医药》
CAS
2016年第11期1322-1327,共6页
Global Traditional Chinese Medicine
基金
北京市科技新星计划(xx2015A048)
关键词
指纹图谱
化学模式识别
清开灵软胶囊
Fingerprint
Chemical pattern recognition
Qingkailing soft capsules
